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Description
Threat detection entails a thorough examination of each individual network packet along with its contained data, featuring elements such as network protocol identification and verification, which allows for the identification of both obscure and concealed protocols. It incorporates machine learning techniques that provide a proactive assessment of traffic risk through scoring systems. Additionally, the detection of network steganography helps uncover hidden traffic within the network, including potential data breaches, espionage activities, and botnet communications. Utilizing proprietary algorithms for steganography detection serves as an efficient means of revealing various information concealment strategies. Furthermore, a unique signature database containing an extensive array of recognized network steganography techniques enhances detection capabilities. Forensic analysis is employed to effectively evaluate the ratio of security incidents relative to the traffic source. Facilitating the extraction of high-risk network traffic aids in concentrating analysis on specific threat levels, while storing processed traffic metadata in an extended format accelerates the trend analysis process. This multifaceted approach ensures a comprehensive understanding of network security challenges and enhances the ability to respond to emerging threats.
Description
Darktrace / NETWORK is an advanced AI-driven solution designed for network detection and response, aiming to thwart, identify, scrutinize, and manage both recognized and novel threats in contemporary environments. Utilizing its Self-Learning AI, the system operates directly on an organization’s data, adapting to the typical behavior of each device, user, connection, and attack vector, thereby detecting anomalies without relying on predefined signatures, past attack data, or generalized models. This solution offers comprehensive visibility across various infrastructures, including on-premises, virtual, cloud, and hybrid networks, as well as remote endpoints, operational technology (OT) devices, zero-trust network access (ZTNA), and traffic in both encrypted and decrypted forms. Moreover, it continuously refines its detection capabilities to enhance precision and minimize alert fatigue without the need for manual rule updates. The Cyber AI Analyst conducts thorough investigations at scale, forms theories, derives conclusions, ranks incidents based on potential business repercussions, and links occurrences across network, endpoint, cloud, identity, OT, email, and remote systems, ensuring a robust defense against cyber threats. Thus, organizations can benefit from a proactive security posture that evolves in tandem with emerging challenges.
API Access
Has API
API Access
Has API
Integrations
Darktrace
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cryptomage
Founded
2015
Country
Poland
Website
cryptomage.io/cybereye
Vendor Details
Company Name
Darktrace
Founded
2013
Country
United Kingdom
Website
www.darktrace.com/products/network
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Product Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Cloud Workload Protection
Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity
Incident Response
Attack Behavior Analytics
Automated Remediation
Compliance Reporting
Forensic Data Retention
Incident Alerting
Incident Database
Incident Logs
Incident Reporting
Privacy Breach Reporting
SIEM Data Ingestion / Correlation
SLA Tracking / Management
Security Orchestration
Threat Intelligence
Timeline Analysis
Workflow Automation
Workflow Management
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption